Dr Arthur P. Guillaumin
Lecturer in Mathematical Data Science
School of Mathematical Sciences
Queen Mary University of London
Research
random fields, quasi likelihood, time series, probabilistic neural networks, whittle likelihood
Publications

Publications of specific relevance to the Centre for Probability, Statistics and Data Science
2022
Guillaumin A, Sykulski AM, Olhede SC and Simons FJ (2022).
The Debiased Spatial Whittle Likelihood. Journal of the Royal Statistical Society: Series B,
Royal Statistical Society 20-07-20222021
Guillaumin AP and Zanna L (2021).
Stochastic‐Deep Learning Parameterization of Ocean Momentum Forcing. Journal of Advances in Modeling Earth Systems,
American Geophysical Union (AGU) vol. 13 (9)
01-09-20212019

Sykulski AM, Olhede SC,
Guillaumin AP, Lilly JM and Early JJ (2019).
The debiased Whittle likelihood. Biometrika,
Oxford University Press (OUP) vol. 106 (2), 251-266.
13-02-20192017
Guillaumin AP, Sykulski AM, Olhede SC, Early JJ and Lilly JM (2017).
Analysis of Non‐Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements. Journal of Time Series Analysis,
Wiley vol. 38 (5), 668-710.
26-07-2017